multipoint

Construct a surrogate from multiple existing training points

Specification

  • Alias: None

  • Arguments: None

Child Keywords:

Required/Optional

Description of Group

Dakota Keyword

Dakota Keyword Description

Required (Choose One)

Multipoint Surrogate

tana

Local multi-point model via two-point nonlinear approximation

qmea

Multi-point surrogate approximation based on QMEA algorithm

Required

truth_model_pointer

Pointer to specify a “truth” model, from which to construct a surrogate

Description

Multipoint approximations use data from previous design points to improve the accuracy of local approximations. The data often comes from the current and previous iterates of a minimization algorithm.

Currently, only the Two-point Adaptive Nonlinearity Approximation (TANA-3) method of [XG98] is supported with the tana keyword.

The truth model to be used to generate the value/gradient data used in the approximation is identified through the required truth_model_pointer specification.